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Population-Based Survey Experiments$
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Diana C. Mutz

Print publication date: 2011

Print ISBN-13: 9780691144511

Published to Princeton Scholarship Online: October 2017

DOI: 10.23943/princeton/9780691144511.001.0001

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Analysis of Population-Based Survey Experiments

Analysis of Population-Based Survey Experiments

Chapter:
(p.108) Chapter Seven Analysis of Population-Based Survey Experiments
Source:
Population-Based Survey Experiments
Author(s):

Diana C. Mutz

Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691144511.003.0007

This chapter addresses three common problems that emerge in the analysis stage. These include the misguided practice of doing randomization checks, whether and how to use survey weights, and the use and misuse of covariates. Investigators tend to approach the analysis and interpretation of population-based experiments from the perspective of usual practices in whatever their home discipline happens to be. However, as it turns out, some of these choices go hand in hand with common errors and faulty assumptions about the most appropriate way to analyze results from population-based experiments. Usual practices are not always appropriate, particularly with disciplines that favor observational methods. The chapter aims to provide guidance on the best practices and to explain when and why they make a difference.

Keywords:   analysis stage, randomization checks, survey weights, covariates, population-based experiments, observational methods

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